2

Entry Level Machine Learning Visa Sponsorship Jobs

$28 - $45/hr

... 45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ... This role is ideal for students or entry level candidates in STEM fields who are passionate about ...

$28 - $45/hr

... 45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ... This role is ideal for students or entry level candidates in STEM fields who are passionate about ...

$28 - $45/hr

... 45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ... This role is ideal for students or entry level candidates in STEM fields who are passionate about ...

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and ... Please note that this position is eligible for visa sponsorship. #LI

next page

Showing results 1-20

Entry Level Machine Learning Visa Sponsorship information

See salary details

$12

$17

$21

How much do entry level machine learning visa sponsorship jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for entry level machine learning visa sponsorship in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What types of projects and collaboration can an entry level machine learning employee expect, especially when working under visa sponsorship?

Entry level machine learning professionals typically work on well-defined tasks such as data preprocessing, model training, and assisting with algorithm development under the guidance of senior team members. Collaboration is a key part of the role, often involving cross-functional teams including data engineers, software developers, and domain experts. Those on visa sponsorship can expect structured onboarding, mentorship opportunities, and regular feedback to support both technical growth and integration into the team. Many organizations provide clear project scopes and documentation, making it easier for new hires to ramp up and contribute effectively.

What are Entry Level Machine Learning Visa Sponsorship jobs?

Entry Level Machine Learning Visa Sponsorship jobs are positions in the field of machine learning that are suitable for candidates with little to no professional experience and are open to applicants who require employer sponsorship for a work visa. These roles typically involve assisting with data analysis, building machine learning models, and supporting senior engineers or scientists. Employers offering visa sponsorship help international candidates legally work in the country, often supporting H-1B or similar visa processes. Such jobs are common in technology companies, research labs, and startups that need fresh talent and are open to hiring globally.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree or coursework. Experience with programming languages like Python or R, familiarity with ML libraries (such as TensorFlow or scikit-learn), and knowledge of data processing tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and deliver impactful solutions. These skills ensure you can build, evaluate, and deploy machine learning models that address real-world challenges and support business objectives.

What is the difference between Entry Level Machine Learning Visa Sponsorship vs Entry Level Data Scientist Visa Sponsorship?

AspectEntry Level Machine Learning Visa SponsorshipEntry Level Data Scientist Visa Sponsorship
Required CredentialsBachelor's in CS, ML, or related; basic programming skillsBachelor's in CS, Statistics, or related; programming and analytical skills
Work EnvironmentResearch labs, tech companies, startupsTech firms, finance, healthcare, consulting
Industry UsageDeveloping ML models, algorithmsAnalyzing data, building predictive models
Common Search IntentVisa sponsorship for ML rolesVisa sponsorship for data science roles

Both roles require similar educational backgrounds and programming skills, often working in tech-driven environments. The main difference lies in focus: Machine Learning roles emphasize developing algorithms and models, while Data Scientist roles focus on analyzing data and deriving insights. Visa sponsorship processes are comparable, but candidates should tailor their applications to the specific role's requirements.

More about Entry Level Machine Learning Visa Sponsorship jobs
What cities are hiring for Entry Level Machine Learning Visa Sponsorship jobs? Cities with the most Entry Level Machine Learning Visa Sponsorship job openings:
What are the most commonly searched types of Machine Learning Visa Sponsorship jobs? The most popular types of Machine Learning Visa Sponsorship jobs are:
What states have the most Entry Level Machine Learning Visa Sponsorship jobs? States with the most job openings for Entry Level Machine Learning Visa Sponsorship jobs include:
What job categories do people searching Entry Level Machine Learning Visa Sponsorship jobs look for? The top searched job categories for Entry Level Machine Learning Visa Sponsorship jobs are:
Entry Level Machine Learning Engineer

Entry Level Machine Learning Engineer

SynergisticIT

Santa Fe, NM

Other

Posted 3 days ago


Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry-level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.

For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.